License Plate Recognition System Developed for Digital Image Processing Course

During my digital image processing course, I completed a major project focused on license plate recognition. I implemented the system using MATLAB programming, incorporating adaptive thresholding techniques for robust image binarization under varying lighting conditions. Through methodical development, I successfully created an automated license plate recognition system that employs template matching algorithms for character identification. The implementation involved key MATLAB functions including im2bw() with adaptive threshold calculation, regionprops() for license plate localization, and normxcorr2() for template matching operations. Through iterative testing and optimization, I achieved satisfactory recognition accuracy. This project provided deep insights into digital image processing concepts while significantly enhancing my programming skills. I acquired valuable techniques in MATLAB image processing, algorithm optimization, and systematic debugging approaches. Overall, this coursework represents a significant milestone in my digital image processing education and an important step forward in this technical field.